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MATH 210 – Elementary Statistics
4 credits
Instructor: Tracy Chisholm
Course Description
: An introduction to statistical methods of gathering, presenting and analyzing data.
Topics include probability and probability distributions, confidence intervals, hypothesis testing, and
linear regression and correlation.
Data Collection & Sampling
Descriptive Statistics
o
Organizing & Summarizing Data
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Numerically Summarizing Data
o
Correlation & Regression
Probability & Probability Distribution
o
Probability
o
Discrete Probability Distributions
o
The Normal Probability Distribution
Inference: From Samples to Population
o
Sampling Distributions
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Eliminating the Value of a Parameter
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Hypothesis Tests Regarding a parameter
o
Inferences on Two Samples
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Inference on Categorical Data
o
Comparing Three or More Means/ANOVA
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Inference on the Least-Squares Regression model and Multiple Regression
Technology will be used to enhance learning and mirror statistical applications and practices in the
larger world.
Prerequisite:
MATH 103 College Algebra
Course Objectives
:
To develop an understanding of basic probability and statistical concepts.
To develop an understating of how statistics are relevant in real-life situations and in decision
making processes.
To teach students how to calculate, use, and interpret statistics correctly so that they may use
this knowledge in their fields of study.
To teach students how to use statistical technology to solve and interpret problems in
elementary probability and statistics.
To develop lifelong learning skills; students will learn to learn.
To improve communication and collaboration with others.
To become better problem solvers who think creatively to solve novel problems.